In September 2020, enercast published an English translation of an interview with managing director Dr. Henning Schulze-Lauen in the German newspaper aktiv. The discussion addressed renewable generation, artificial intelligence and the connection between energy, data and software. This refreshed summary preserves the interview's historical context rather than reproducing its dated business and storage figures as current facts.
Forecasts as an operational input
The interview explained that wind and solar production depend on weather rather than a fixed timetable. Plant operators, utilities, traders and network operators therefore need estimates of future generation. Forecasts support decisions in those workflows, but do not turn variable generation into a guaranteed supply.
Learning from weather and plant production
Schulze-Lauen described analysing relationships between historical weather, plant configuration and electricity production, then combining that learning with weather-model information. The interview also discussed integration through interfaces and the move from technology development to a scalable product. Those themes remain relevant when buyers assess data requirements, evaluation methods and implementation effort.
Kassel's research context
The interview highlighted the University of Kassel and Fraunhofer IEE as part of the local renewable-energy research environment. It described collaboration and the appeal of work at the intersection of energy and software. This page is a dated interview summary, not a fresh quotation or confirmation of today's product configuration. Readers can consult the original publication for its complete historical wording.